ProjectPro

JUNE 6, 2025

These databases are completely managed by AWS, relieving users of time-consuming activities like server provisioning, patching, and backup. The relational databases- Amazon Aurora , Amazon Redshift, and Amazon RDS use SQL (Structured Query Language) to work on data saved in tabular formats. NoSQL Document Database.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

JUNE 6, 2025

The following questions, sourced from Glassdoor span topics like SQL queries, Python programming, data storage, data warehousing , and data modeling, providing a comprehensive overview of what to expect in your Amazon Data Engineer interview. What are the key considerations for choosing between relational databases and NoSQL databases on AWS?

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

How would you create a Data Model using SQL commands? A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Looking to master SQL? Begin your SQL journey with confidence! This all-inclusive guide is your roadmap to mastering SQL, encompassing fundamental skills suitable for different experience levels and tailored to specific job roles, including data analyst, business analyst, and data scientist. But why is SQL so essential in 2023?

SQL 40

SQL Relational Database Business Analyst Database 40

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

KDnuggets

SEPTEMBER 8, 2023

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

Database 142

Database Data Science NoSQL Relational Database 142

ProjectPro

JUNE 6, 2025

From working with raw data in various formats to the complex processes of transforming and loading data into a central repository and conducting in-depth data analysis using SQL and advanced techniques, you will explore a wide range of real-world databases and tools. Ratings/Reviews This course has an overall rating of 4.7

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

FAQs on Graph Databases What is a Graph Database? A graph database is a specialized database designed to efficiently store and query interconnected data. The Key Components of a Graph Database include - Nodes represent entities or objects within the data, such as a person, a place, or a product.

Database 40

Database Database-centric Relational Database MongoDB 40

ProjectPro

JUNE 6, 2025

The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. Knowing how database systems operate allows data modelers to perform their tasks using standard business tools more quickly and effectively. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

Use statistical methodologies and procedures to make reports Work with online database systems Improve data collection and quality procedures in collaboration with the rest of the team Kickstart your journey in the exciting domain of Data Science with these solved data science mini projects today! A solid grasp of natural language processing.

Data Science 56

Data Science Data Mining Data Architect BI 56

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database MongoDB 52

ProjectPro

JUNE 6, 2025

He is an expert SQL user and is well in both database management and data modeling techniques. On the other hand, a Data Engineer would have similar knowledge of SQL, database management, and modeling but would also balance those out with additional skills drawn from a software engineering background.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

List of the Best Data Warehouse Tools Amazon Redshift Google BigQuery Snowflake Microsoft Azure Synapse Analytics (Azure SQL Data Warehouse) Teradata Amazon DynamoDB PostgreSQL Hone Your Data Warehousing Skills with ProjectPro's Hands-On Expertise FAQs on Data Warehousing Tools What are Data Warehousing Tools?

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Azure Databricks is closely linked to Azure's computation and storage resources, including Azure Blob Storage, Data Lake Store, SQL Data Warehouse, and HDInsights. Microsoft Azure SQL Database Azure SQL Database, a member of the Azure SQL family, is a relational database service that is continually updated and fully managed for the cloud.

Data Engineering 40

Data Engineering Data Engineer PostgreSQL Engineering 40

Rockset

JULY 6, 2022

Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditional databases, with their wholly-inflexible structures, are brittle. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. NoSQL, for example, may not be appropriate for message queues.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

Questions span data warehousing , ETL processes, big data technologies , SQL, data processing, optimization, security, privacy, and data visualization. The on-site assessments cover SQL , analytics, machine learning , and algorithms. How would you optimize a SQL query for a large dataset in a data warehouse?

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Project Idea: Time Series Analysis with Facebook Prophet Python and Cesium Psycopg2, pyodbc, sqlalchemy When one hears the word ‘database’, they are likely to think of data stored in the form of tables having various rows and columns. Such type of a database is called a relational database.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

ProjectPro

JUNE 6, 2025

Comparison Of AWS Aurora With Other Databases Let us compare AWS Aurora with other databases, such as Amazon RDS, DynamoDB, etc. Amazon Aurora Vs. RDS AWS Aurora and RDS (Relational Database Service) are both cloud-based database services offered by Amazon Web Services.

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. In-memory databases like SAP HANA that employ analytics for business intelligence and optimal data storage formats. In-memory databases like Redis and Memcached. Relational database workloads.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

Load - Engineers can load data to the desired location, often a relational database management system (RDBMS), a data warehouse, or Hadoop, once it becomes meaningful. A data warehouse is a relational database that has been technologically enhanced for accessing, storing, and querying massive amounts of data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

Azure Cosmos DB Pricing Azure Cosmos DB Tutorial: Getting Started with NoSQL Database Real-World Applications of Azure Cosmos DB Boosting Performance in Cosmos DB: Top Tips and Techniques Azure Cosmos DB Project Ideas Enhance Your Data Management Skills with ProjectPro's Guided Azure Projects! What is Cosmos DB Used for?

Database 40

Database Management MongoDB NoSQL 40

Data Engineering Podcast

JUNE 10, 2018

With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages. To address these shortcomings the engineers at Cockroach Labs have built a globally distributed SQL database with full ACID semantics in Cockroach DB.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

ProjectPro

JUNE 6, 2025

A solid understanding of SQL is also essential to manage, access, and manipulate data from relational databases. Data Modeling Another crucial skill for a data architect is data modeling. It entails describing data flow in a complex software system using simple diagrams. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Hive is a data warehousing and SQL-like query language system built on top of Hadoop. Hive provides a high-level abstraction over Hadoop's MapReduce framework, enabling users to interact with data using familiar SQL syntax. Users interact with Hive using Hive Query Language (HQL), a SQL-like language.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. Spark can integrate with Apache Cassandra to process data stored in this NoSQL database. Spark can connect to relational databases using JDBC, allowing it to perform operations on SQL databases.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data. The data sources can refer to databases, machine data, web APIs, relational databases, flat files, log files, and RSS (RDF Site Summary) feeds, to name a few.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Edureka

MAY 23, 2023

SQL Alchemy is a powerful and popular Python library that provides an Object-Relational Mapping (ORM) tool for working with relational databases. It serves as a bridge between Python and various database management systems, allowing developers to interact with databases using Python code.

SQL 52

SQL Relational Database NoSQL Python 52

AltexSoft

JUNE 7, 2021

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Complex programming environment.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 6, 2025

They are skilled in programming languages like Python , SQL , or Scala and work with tools like Apache Spark , Talend, Informatica, or Apache Airflow. This includes understanding database management, with a focus on SQL (Structured Query Language) and NoSQL databases.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

Knowledge Hut

APRIL 25, 2024

Spark also supports SQL queries and machine learning algorithms. NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. HDFS, Cassandra, Hive).

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

MAY 13, 2015

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

NoSQL 40

NoSQL MongoDB Certification Database 40

Rockset

JANUARY 5, 2022

So I don’t fault you for resisting my message, which is that the SQL database that came of age in the 80s still has a critical role to play today in moving data-driven companies from batch to real-time analytics. In many tech circles, SQL databases remain synonymous with old-school on-premises databases like Oracle or DB2.

Database 52

Database SQL NoSQL Raw Data 52

ProjectPro

JUNE 6, 2025

AWS DynamoDB An alternative to relational databases, Amazon DynamoDB's NoSQL database supports several different data formats, including document, graph, key-value, memory, and search. This generates highly functional, scalable, adaptable, and efficient databases for modern workloads.

AWS 40

AWS Data Engineering Data Engineer Engineering 40